Language Modeling

Fast-Slow Recurrent Neural Networks NeurIPS 2017 From Characters to Words to in Between: Do We Capture Morphology? ACL 2017 Generating a Training Corpus for OCR Post-Correction Using Encoder-Decoder Model IJCNLP 2017 Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling ICML 2017 Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora CoRL 2017 High-risk learning: acquiring new word vectors from tiny data EMNLP 2017 Improved Word Representation Learning with Sememes ACL 2017 Improving Evaluation of Document-level Machine Translation Quality Estimation EACL 2017 Input-to-Output Gate to Improve RNN Language Models IJCNLP 2017 Investigating Bidirectional Recurrent Neural Network Language Models for Speech Recognition Interspeech 2017 Language Modeling with Gated Convolutional Networks ICML 2017 Language Modeling with Recurrent Highway Hypernetworks NeurIPS 2017 Learning a Neural Semantic Parser from User Feedback ACL 2017 Learning Character-level Compositionality with Visual Features ACL 2017 Learning Generic Sentence Representations Using Convolutional Neural Networks EMNLP 2017 Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling ACL 2017 LSTM Neural Network-Based Speaker Segmentation Using Acoustic and Language Modelling Interspeech 2017 Memory Augmented Neural Networks for Natural Language Processing EMNLP 2017 Nested LSTMs ACML 2017 Neural Semantic Encoders EACL 2017 Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm EACL 2017 Reference-Aware Language Models EMNLP 2017 Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks Interspeech 2017 Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017 Semi-Supervised Adaptation of RNNLMs by Fine-Tuning with Domain-Specific Auxiliary Features Interspeech 2017